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2019 | OriginalPaper | Buchkapitel

Extraction of RDF Statements from Text

verfasst von : Jose L. Martinez-Rodriguez, Ivan Lopez-Arevalo, Ana B. Rios-Alvarado, Julio Hernandez, Edwin Aldana-Bobadilla

Erschienen in: Knowledge Graphs and Semantic Web

Verlag: Springer International Publishing

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Abstract

The vision of the Semantic Web is to get information with a defined meaning in a way that computers and people can work collaboratively. In this sense, the RDF model provides such a definition by linking and representing resources and descriptions through defined schemes and vocabularies. However, much of the information able to be represented is contained within plain text, which results in an unfeasible task by humans to annotate large scale data sources such as the Web. Therefore, this paper presents a strategy for the extraction and representation of RDF statements from text. The idea is to provide an architecture that receives sentences and returns triples with elements linked to resources and vocabularies of the Semantic Web. The results demonstrate the feasibility of representing RDF statements from text through an implementation following the proposed strategy.

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Semantic roles identify the participants in an event guided by a verb and its underlying relationship [13].

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From a First Order Logic perspective, the predicate of a sentence corresponds to the main verb and any auxiliaries surrounding it.

Although the architecture only admits plain text as input data, there are several types of data that could be considered such as structured data (e.g., databases, tables), images, or raw data (e.g., data from sensors).

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Titel: Extraction of RDF Statements from Text
verfasst von: Jose L. Martinez-Rodriguez
Ivan Lopez-Arevalo
Ana B. Rios-Alvarado
Julio Hernandez
Edwin Aldana-Bobadilla
Verlag: Springer International Publishing
Buch: Knowledge Graphs and Semantic Web
Print ISBN: 978-3-030-21394-7

Electronic ISBN: 978-3-030-21395-4

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-21395-4_7

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